Research on Adaptive Automation of Job Scheduling Based on Computer Cloud Native Technology

This paper proposes a cloud-native based task scheduling method, system and storage medium. The cloud shell subsystem transfers task requirements to the task and resource management subsystem, which specifies request the information required to perform the task in the task submission. The Process& Resource Management subsystem schedules the computing resources of the corresponding cloud vendor and assigns the programming/instructions required for the task to the corresponding task and monitor the execution of the task in real time. And it will release computing resources after the work process/instructions are completed. The system completely isolates the jobs without sharing, abandons the task cluster management in the existing task scheduling system, and can realize different kinds of public cloud resources at the same time. It gets rid of the dependence on end nodes and allows a single task to be done on multiple cloud platforms.